Submitted to: ASAE Annual International Meeting
Publication Type: Abstract Only
Publication Acceptance Date: July 28, 2003
Publication Date: July 28, 2003
Citation: Sadeghzadeh, K., Shirmohammadi, A., Montas, H., Sadeghi, A.M. 2003. Automated spatial allocation of BMPs for watershed-scale nitrogen management. Proceedings of the ASAE Meetings. Paper No. 033036.
Nitrogen (N) is an essential plant nutrient that promotes crop yield and contributes greatly to the agricultural economy of crop producers. In case of improper N management, the nitrate form of N can leach to surface and ground waters and impair their qualities. In order to analyze the N management in watershed scale, a representative watershed was selected in the Eastern Shore Region of Maryland. A Decision Support System centered around the use of ERDAS IMAGINE, and the embedded subsurface flow model, Hydrosub, was used to identify critical areas from simulated spatial distributions of relative N export. Diagnosis and prescription Expert Systems were developed into a Predicate Calculus representation of the Universe of Discourse for N dynamics and control and then translated to decision trees for implementation in IMAGINE. These systems were then applied to the diagnosis of probable causes of excessive N export and prescription of appropriate BMPs for export control in critical areas. The analysis resulted in a spatially-distributed set of appropriate Best Management Practices (BMPs) that are feasible both economically and environmentally. For the study watershed, using catch crops and Rhizobium-Legume (instead of using conventional commercial fertilizers) was most often recommended as the most appropriate BMPs. The recommended BMPs are based upon the concept of total N management, which accounts for all forms of on-farm N in the development of crop management plans.